Modeling Background Noise for Denoising in Chemical Spectroscopy
Richard Barnard
Louisiana State University, Baton Rouge, LA
Tuesday, June 30, 2009 15:00-16:00,
Building 101, Lecture Room F
Gaithersburg
Tuesday, June 30, 2009 13:00-14:00,
Room 5000
Boulder
Abstract:
Data obtained from Matrix Assisted Laser Desorption Ionization Time
of Flight (MALDI-TOF) mass spectrometers comes in the form of a set of
50,000-100,000 data pairs. Noise caused by background ions can be found in
nearly every portion of the data set. In this talk, we present a method of
denoising such data sets. In order to do this, we model the noise by a simple,
time-dependent stochastic differential equation. This involves analysis of
data sets obtained without a sample material in the spectrometer. With this,
we can denoise data sets obtained from analytes by using this knowledge of the
local character of the noise.
Speaker Bio:
Richard Barnard is a PhD candidate in the Mathematics Department at
Louisiana State University. He has been working with Professor Peter Wolesnki
in Hamilton-Jacobi theory for discontinuous dynamical systems using techniques
from nonsmooth analysis.
Presentation Slides: PDF
Contact: A. J. Kearsley
Note: Visitors from outside NIST must contact
Robin Bickel; (301) 975-3668;
at least 24 hours in advance.
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